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ASSESSING THE IMPACT OF MICROPLASTIC ACCUMULATION ON MARINE BIODIVERSITY AND HUMAN FOOD SECURITY IN COASTAL URBAN REGOINS Khoironi Fanana Akbar; Syafiq Amir; Thabo Mokoena
Research of Scientia Naturalis Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i2.4177

Abstract

Accelerating urbanization and increasing plastic consumption have intensified microplastic contamination in coastal environments, raising serious concerns about marine ecosystem degradation and human food security. Persistent microplastic accumulation threatens marine biodiversity through bioaccumulation, trophic transfer, habitat deterioration, and physiological stress while contaminating commercially important seafood species. This study evaluated the ecological impacts of microplastic accumulation on marine biodiversity and food security across coastal urban regions by examining interactions among environmental contamination, ecosystem resilience, fisheries productivity, seafood safety, and environmental governance. A mixed-methods sequential explanatory design was employed using environmental monitoring data from 72 coastal monitoring stations across twelve urban coastal regions. Quantitative analyses included biodiversity assessment, laboratory characterization of microplastics, multivariate statistics, structural equation modeling, hierarchical regression, mediation, and moderation analyses, while qualitative evidence was analyzed through thematic analysis. Findings revealed that increasing microplastic accumulation significantly reduced marine biodiversity, weakened ecosystem resilience, decreased fisheries productivity, and increased seafood contamination. Biodiversity integrity partially mediated environmental contamination and fisheries productivity, whereas environmental governance enhanced ecological resilience through improved waste management and integrated coastal management, supporting long-term ecosystem sustainability and food security in rapidly urbanizing coastal regions.
Optimizing Urban Drainage Systems to Cope with Continuous Flooding Amin Zaki; Nurul Huda; Syafiq Amir
Journal of Moeslim Research Technik Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v1i4.1554

Abstract

Urban flooding has become a significant challenge in many cities worldwide, exacerbated by climate change, rapid urbanization, and inadequate drainage systems. Effective management of urban drainage is crucial for mitigating flood risks and enhancing resilience in urban environments. This research addresses the pressing need for optimized drainage systems to respond to sustained flooding events. The study aims to evaluate and optimize urban drainage systems to improve their efficiency in flood management. It seeks to identify key factors influencing drainage performance and propose strategies for enhancement. A mixed-methods approach was employed, combining quantitative modeling and qualitative assessments. Hydraulic models were developed to simulate drainage system performance under various rainfall scenarios. Additionally, interviews with urban planners and engineers were conducted to gather insights on current challenges and potential solutions. The findings reveal that many urban drainage systems are operating below their optimal capacity, leading to frequent flooding during heavy rainfall events. Key factors identified include insufficient infrastructure, poor maintenance practices, and lack of integrated planning. The research proposes a set of optimization strategies, including the implementation of green infrastructure and improved maintenance protocols. The study concludes that optimizing urban drainage systems is essential for effectively managing urban flooding. Policymakers and urban planners must prioritize investments in drainage infrastructure and adopt innovative strategies to enhance resilience against flooding. Future research should focus on long-term monitoring and evaluation of implemented solutions to ensure ongoing effectiveness in flood management.
DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-BASED ROBOTS FOR RESCUE TASKS AT DISASTER LOCATIONS Achmad Nashrul Waahib; Iwan Ady Prabowo; Kusnadi Kusnadi; Antoni Pribadi; Syafiq Amir
Journal of Moeslim Research Technik Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i1.1929

Abstract

The increasing frequency of natural disasters highlights the urgent need for efficient rescue operations. Traditional methods often face limitations in accessing hazardous areas, making the development of intelligent robotic systems essential for enhancing rescue efforts. This research focuses on creating an AI-based robot specifically designed for search and rescue tasks in disaster-stricken locations. The primary aim of this study is to develop a robotic system that utilizes artificial intelligence to navigate complex environments, identify survivors, and deliver essential supplies. The research seeks to evaluate the robot's effectiveness in real-world scenarios and its potential to improve response times during emergencies. A systematic approach was employed, combining hardware design and software development. The robot was equipped with advanced sensors, machine learning algorithms, and autonomous navigation capabilities. Field tests were conducted in simulated disaster environments to assess the robot's performance in detecting obstacles, locating victims, and executing rescue tasks. The AI-based robot demonstrated a 90% success rate in locating simulated survivors and effectively navigating through obstacles. Response times were significantly reduced compared to traditional methods, showcasing the robot's potential to enhance rescue operations in real emergencies. This research successfully developed an AI-driven robotic system for search and rescue tasks, demonstrating its effectiveness in improving operational efficiency.
SMART MOSQUE: AN IOT-BASED CONTROL SYSTEM FOR MANAGING ENERGY CONSUMPTION AND FACILITY OPERATIONS Titiek Deasy Saptaryani; Syafiq Amir; Liam Wilson
Journal of Moeslim Research Technik Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i6.2716

Abstract

Public and religious facilities, like mosques, often suffer from substantial energy waste due to large physical footprints, manual control, and highly intermittent, non-linear occupancy patterns. This chronic inefficiency results in high utility bills, diverting scarce community funds away from core charitable and social welfare missions, underscoring the necessity for advanced, cost-effective automation. This study aims to design and empirically validate the “Smart Mosque Architecture,” an integrated Internet of Things (IoT) system utilizing a novel Dynamic Prayer Time-Based Control Algorithm (DPT-BCA) to proactively optimize energy consumption across lighting and HVAC systems. A quantitative, quasi-experimental time-series analysis was conducted over a six-month experimental period, comparing the system’s performance against a four-month manual control baseline. The custom low-cost system achieved a statistically significant average monthly energy reduction of 30.0% (p < 0.001), driven primarily by a 47.4% reduction in HVAC runtime. Financial analysis confirmed the system’s economic viability, yielding a simple Return on Investment (ROI) in just eighteen months. The Smart Mosque Architecture is a robust and superior predictive control solution for religious facilities. The DPT-BCA successfully maximizes energy efficiency and service quality, establishing a scalable, ethical blueprint for sustainable institutional facility management worldwide.
THE ROLE OF NON-TIMBER FOREST PRODUCTS IN RURAL LIVELIHOODS Faisal Razak; Syafiq Amir; Rina Farah
Journal of Selvicoltura Asean Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i2.2028

Abstract

Non-timber forest products (NTFPs) have long been integral to the livelihoods of rural communities, providing essential resources for food, medicine, income, and cultural practices. Despite their importance, the role of NTFPs in improving rural welfare is often underexplored in scientific research. Understanding their contribution is critical for sustainable development and rural poverty alleviation. This study aims to assess the role of NTFPs in the livelihoods of rural populations, exploring their economic, social, and environmental significance. It further seeks to identify the challenges and opportunities surrounding the sustainable use of these resources. The research adopts a mixed-methods approach, combining qualitative interviews with local communities and quantitative data collection through surveys. Fieldwork was conducted in selected rural areas where NTFPs are a key resource. Data were analyzed using descriptive statistics and thematic analysis. Findings reveal that NTFPs significantly contribute to household income, particularly in communities with limited access to formal employment. They also play a vital role in maintaining cultural practices and providing food security. However, overharvesting and inadequate policy frameworks threaten their sustainability. NTFPs are crucial for rural livelihoods, but their continued availability depends on effective management strategies that balance economic needs with environmental conservation. Policy interventions should focus on promoting sustainable harvesting practices and supporting local communities in managing these resources.  
Developing Social-Emotional Learning (SEL) Competencies Through Cooperative Learning Strategies in the Classroom Nurhayati Nurhayati; Aiman Fariq; Syafiq Amir
Research Psychologie, Orientation et Conseil Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i5.2889

Abstract

Social-Emotional Learning (SEL) has gained increasing attention as a critical component of holistic education that supports students’ academic success, well-being, and interpersonal competence. This study aims to examine the effectiveness of cooperative learning strategies in developing students’ SEL competencies within classroom settings. A quasi-experimental mixed-methods design was employed involving an experimental group exposed to structured cooperative learning activities and a control group receiving conventional instruction. Quantitative data were collected using standardized SEL questionnaires measuring self-awareness, self-management, social awareness, relationship skills, and responsible decision-making, while qualitative data were obtained through classroom observations and reflective student responses. The findings reveal significant improvements in overall SEL competencies among students participating in cooperative learning, with the strongest gains observed in relationship skills and social awareness, followed by self-management and responsible decision-making. Observational data corroborate these results by demonstrating enhanced peer interaction, emotional regulation, and a more supportive classroom climate. The study concludes that cooperative learning provides authentic social contexts that enable students to practice and internalize SEL competencies through structured interaction and shared responsibility. The novelty of this research lies in its integrative perspective that positions cooperative learning not only as an academic instructional strategy but as a deliberate and sustainable approach to SEL development embedded in everyday classroom practice.
Developing a Creative Learning Model to Increase Middle School Students’ Interest in Reading Amin Zaki; Nurul Huda; Syafiq Amir
Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v1i4.1705

Abstract

The decline in reading interest among middle school students is a growing concern in the field of education. Despite the increasing availability of digital content, traditional reading remains critical for developing cognitive and analytical skills. Previous studies have highlighted the need for innovative learning models to engage students and foster a love for reading. This study aims to develop and evaluate a creative learning model designed to enhance middle school students’ interest in reading. The model focuses on incorporating interactive and engaging activities that connect reading materials with students’ daily lives and interests. A mixed-method approach was used, combining qualitative and quantitative data collection techniques. The sample consisted of 150 middle school students from three schools. A pretest-posttest design was employed to assess changes in students’ reading interest, complemented by interviews and observations for qualitative insights. The findings revealed a significant increase in students’ interest in reading, as evidenced by improved survey scores and positive feedback from both students and teachers. The creative learning model effectively engaged students, making reading more enjoyable and relevant to their personal experiences. The creative learning model proved successful in increasing middle school students’ reading interest. It emphasizes the importance of developing innovative teaching strategies to foster a lasting interest in reading, contributing to improved academic outcomes.  
The "Dark Side" of Creativity: Exploring the Relationship Between Creativity and Unethical Behavior Miftahuddin Miftahuddin; Faisal Razak; Syafiq Amir
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i6.2807

Abstract

The growing body of research on creativity has traditionally highlighted its positive contributions to innovation and problem-solving, yet recent studies suggest that creativity may also facilitate unethical behavior. This study investigates the “dark side” of creativity by examining how creative potential and creative self-efficacy relate to morally questionable decision-making in organizational contexts. The research aims to clarify whether creativity inherently increases individuals’ capacity to rationalize misconduct or whether situational factors moderate this relationship. A mixed-method design was employed, combining a quantitative survey of 312 employees from diverse professional sectors with qualitative vignette-based interviews to probe moral reasoning processes. The findings indicate that higher creativity scores correlate with greater justification of rule-bending behaviors, particularly when individuals perceive ethical norms as ambiguous or organizational climates as permissive. However, creativity did not uniformly predict unethical actions; rather, the effect was contingent upon motivational orientations and moral disengagement tendencies. The study concludes that creativity is a dual-edged construct capable of generating both adaptive and maladaptive outcomes highlighting the need for ethical scaffolding in creative work environments. These insights contribute to a more nuanced understanding of creativity beyond its celebrated positive dimensions.  
THE IMPACT OF MOTIVATION ON ACADEMIC ACHIEVEMENT IN VIRTUAL LEARNING ENVIRONMENTS: A LONGITUDINAL STUDY Akbar Syaiful Luneto; Mujahid Damopolii; Syafiq Amir
World Psychology Vol. 5 No. 1 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v5i1.1226

Abstract

The rapid expansion of virtual learning environments has transformed contemporary education, yet disparities in academic achievement persist among online learners. Motivation has been widely recognized as a key determinant of academic success in traditional settings; however, its longitudinal impact within fully digital contexts remains insufficiently examined. This study investigates the dynamic relationship between student motivation and academic achievement in virtual learning environments over four consecutive semesters. A longitudinal panel design was employed involving 420 undergraduate students enrolled in fully online programs. Data were collected using validated scales measuring intrinsic motivation, academic self-efficacy, and perceived autonomy, alongside institutional records of cumulative grade point average. Cross-lagged structural equation modeling was applied to analyze temporal and reciprocal effects. Results indicate that academic self-efficacy and intrinsic motivation significantly predict subsequent academic achievement, while prior achievement also reinforces future motivational levels, demonstrating a reciprocal developmental pattern. Combined motivational constructs explained a substantial proportion of variance in cumulative GPA across semesters. The findings underscore the central role of sustained motivational resources in supporting long-term academic success within digital education contexts. Strengthening motivational support mechanisms is essential for enhancing performance and persistence in virtual learning environments.
AI IN EDUCATION: RETHINKING THE TEACHER-STUDENT DYNAMIC IN DIGITAL CLASSROOMS Zulkarnain Dama; Syafiq Amir; Arten Mobonggi
Al-Hijr: Journal of Adulearn World Vol. 5 No. 2 (2026)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v5i2.1266

Abstract

The integration of Artificial Intelligence (AI) in education is rapidly transforming traditional classroom dynamics, particularly the teacher-student relationship. AI tools, such as personalized learning platforms and automated grading systems, are increasingly utilized to enhance student engagement and optimize educational outcomes. However, these technologies also introduce challenges related to the evolving role of educators, particularly in maintaining human-centered teaching practices. This study explores how AI affects the teacher-student dynamic in digital classrooms, with a focus on the opportunities and challenges it presents to educators. The research employs a mixed-methods approach, combining surveys, interviews, and classroom observations across 10 institutions that have adopted AI-driven teaching tools. The results show that AI significantly enhances personalized learning and administrative efficiency, yet teachers express concerns about the depersonalization of interactions and the loss of emotional connections with students. The study concludes that while AI has the potential to improve teaching and learning, it is essential for educators to maintain their human role in fostering critical thinking, creativity, and emotional support. The research underscores the need for a balanced integration of AI into pedagogical strategies to ensure both technological efficiency and meaningful student-teacher interactions.